2. Note to Investors
• Certain non-GAAP financial information regarding operating results
may be discussed during this presentation. Reconciliations of the
differences between GAAP and non-GAAP measures are available on
the Investor page at www.teradata.com/investor.
• Remarks and responses associated with this presentation include
forward-looking statements that are based on current expectations
and assumptions. These forward-looking statements are subject to
a number of risks and uncertainties that could affect our future
results and could cause actual results to differ materially from
those expressed in such forward-looking statements.
• These risks and uncertainties are detailed in Teradata’s Registration
Statement on Form 10 and in our SEC reports, including, but not
limited to, our periodic and current reports on Forms 10-K, 10-Q,
and 8K, as well as the company’s annual report to shareholders.
2
2/7/2014
Teradata Confidential
3. Information Technology Landscape
Operational Systems
Help Run the Business
Analytic Systems Drive
Business Decisions
Operational/
Transactional Systems
Business Intelligence/
Analytical Applications
Oracle, SAP
Oracle, SAP, SAS, Business Objects,
Cognos, Microsoft, Teradata
Enterprise Application
Integration
IBM, BEA, TIBCO,
Oracle, SAP
Data Warehouse Databases
Transactional Databases
Oracle, Microsoft,
IBM, Netezza
Oracle, IBM, Microsoft, PostgreSQL
Teradata
Data Acquisition
& Integration
Informatica,
IBM, Oracle
Servers, Storage...
Servers, Storage...
3
2/7/2014
Teradata Confidential
4. The Problem …
OPERATIONAL
SYSTEMS
The Solution
DECISION
MAKERS
OPERATIONAL
SYSTEMS
DECISION
MAKERS
Integrated
Data
Warehouse
(IDW)
Proliferation of data marts has
resulted in fragmented data, higher
costs, poor decisions
4
2/7/2014
Integrated data provides data
consistency, lower costs, better decisions
Teradata Confidential
5. Unified Data Architecture
• Any User, Any Data, Any Analysis
Engineers
Data Scientists
Quants
Business Analysts
Java, C/C++, Pig, Python, R, SAS, SQL, Excel, BI, Visualization, etc.
Aster MapReduce Portfolio
Teradata Analytics Portfolio
Discovery Platform
Integrated Data
Warehouse
SQL-H
Capture, Store, Refine
Audio/
Video
5
2/7/2014
Images
Text
Web &
Social
Machine
Logs
Teradata Confidential
CRM
SCM
ERP
7. Teradata Workload-Specific Platforms
Data Mart
Appliance
Extreme
Data
Appliance
Data
Warehouse
Appliance
Active
Enterprise
Data
Warehouse
600 Series
1000 Series
2000 Series
6000 Series
Up to 8TB
Up to 186PB
Up to 1.6PB
Analytical
Archive,
Deep Dive
Analytics
Strategic
Intelligence,
Decision
Support
System, Fast
Scan
Scale
Workloads
7
Test /
Development
or Smaller
Data Marts
2/7/2014
Appliance
for Hadoop
Aster Big
Analytics
Appliance
Up to 61PB
Up to 10PB
Up to 5PB
Strategic &
Operational
Intelligence,
Real Time
Update,
Active
workloads
Appliance for
Storing,
Capturing and
Refining Data.
Hortonworks
HDP 1.1
Discovery
Platform for Big
Data Analytics
with embedded
SQL MapReduce
for new data
types & sources
Teradata Confidential
8. Broadest, Most Flexible Hadoop Offerings in Market
Aster Big Analytics
Appliance
Overview
Value
Proposition
Value Add
Segment
Appliance for Hadoop
Commodity Offering
with Dell
Software Only
Premier
Premier
Commodity
Commodity
Big data analytics in an
integrated package
Enterprise-ready Hadoop Pre-designed, costwith single vendor
effective commodity
support
hardware with
Teradata software
support
Flexible hardware
options with
Teradata software
support
Single best analytics
& discovery platform
SQL-MapReduce &
70+ analytics
Integrated
hardware/software
Software to simplify
operation of Hadoop
Integrated
hardware/software
that is engineered,
staged, & delivered
complete.
Data staging &
refining
Software to simplify
operation of Hadoop
Teradata software
install & support
Business Value Based
IT
“Buy it”
8
2/7/2014
Hardware staged,
delivered by Dell
Teradata software
install & support
Value Based IT
Cost-Based IT
Engineering IT
“Buy it”
“Buy it, Build it”
“Build it”
100% Open Source, Teradata Confidential
Community-Driven Enterprise Apache Hadoop
9. Teradata’s Data Warehouse Evolution/Vision
ACTIVATING
MAKE it happen!
Stage 4
Stage 3
Stage 2
Stage 1
Workload Sophistication
Stage 5
OPERATIONALIZING
WHAT IS
happening now?
PREDICTING
WHAT WILL
happen?
ANALYZING
WHY
did it happen?
REPORTING
WHAT
happened?
Event-based
triggering
takes hold
Continuous update
and time-sensitive
queries become
important
Analytical
modeling
grows
Increase in
ad hoc analysis
Primarily batch
and some ad hoc
reports
Scalability
9
2/7/2014
Teradata Confidential
10. Teradata’s Industry-Leading Technology
Scalability Across Multiple Dimensions
Data Volume
(Raw, User Data)
Technology Demands
• Extreme scalability
• Extreme performance
• Extreme availability
• Extreme data load and
access
Mixed
Workload
Query
Concurrency
Data
Freshness
Query
Complexity
Query
Freedom
Schema
Sophistication
Query Data Volume
Mission critical 7x24
Teradata can scale
simultaneously across
multiple dimensions.
Driven by business!
10
2/7/2014
Teradata Confidential
Competition scales one
dimension at the expense
of others.
Limited by technology!
11. Teradata – The Data Warehouse Leader
Gartner Magic Quadrant for Data
Warehouse DBMS
• Teradata demonstrates “a
persistent strategy to address
the growing role of the data
warehouse as an information
management platform…”
• “Teradata's strong professional
services provide implementation
field experience…”
• “Aster Data added new capabilities …
such as MapReduce, unstructured
data and graph analysis…”
The Magic Quadrant is copyrighted January 2013 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific
time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or
service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a
research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of
merchantability or fitness for a particular purpose.
11
2/7/2014
Teradata Confidential
12. The Forrester Wave TM
Enterprise Data Warehouse Q4 2013
•
Teradata was cited as
leader in the 2013
Forrester EDW Wave.
•
Teradata is TOP
RANKED among all
reviewed vendors for
"strategy" and for
“current offering”
categories.
•
Teradata received top
scores in over 75% of
the categories.
The Forrester Wave ™ is copyrighted by Forrester Research,
Inc. Forrester and Forrester Wave ™ are trademarks of
Forrester Research, Inc. The Forrester Wave ™ is a graphical
representation of Forrester’s call on a market and is plotted
using a detailed spreadsheet with exposed scores, weightings,
and comments. Forrester does not endorse any vendor,
product, or service depicted in the Forrester Wave. Information
is based on best available resources. Opinions reflect judgment
at the time and are subject to change.
12
2/7/2014
Teradata Confidential
14. Teradata positioned as Leader in Gartner
2014 MRM Magic Quadrant
Magic Quadrant for MRM MQ, Kim
Collins, 2/4/14
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner
document is available upon request from Teradata. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not
advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research
organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including
any warranties of merchantability or fitness for a particular purpose
14
2/7/2014
Teradata Confidential
15. Revenue by Industry
2007
2013*
Energy & Util.
1%
2008
2009
2010
2011
2012
2013
Financial
Services
Manuf.
13%
Retail
14%
28%
30%
31%
28%
28%
23%
24%
24%
21%
19%
19%
16%
17%
16%
16%
16%
14%
9%
11%
10%
13%
12%
12%
13%
Healthcare
5%
4%
8%
6%
7%
7%
8%
Travel &
Transportation
6%
6%
6%
6%
5%
6%
6%
7%
5%
7%
7%
6%
6%
6%
Other
Comms.
19%
28%
Government
Healthcare
8%
28%
Manufacturing
Gov't.
6%
29%
Communications
Financial
31%
24%
Retail
Travel/Trans.
5%
Other
2%
2%
1%
<1%
<1%
2%
2%
3%
95%
* Approximate percentages of product and consulting services revenue by industry.
Industry Penetration+
Global Fortune 500
71%
57%
52%
D&B 3000
50%
46%
39%
26%
15%
+ Percentage of companies
within each industry
vertical that have begun
investing in Teradata.
24%
23%
16%
16%
7%
Telecom
15
Trav/Trans
2/7/2014
Media/Ent.
Healthcare
Retail
Fin/Ins
Teradata Confidential
Manuf
8%
4%
Energy &
Utilities
17. Revenue Mix & Operating Segments
Revenue Mix
% of
Total
2013
Products (SW/HW)
$1,230M
46%
Consulting Services
818M
30%
Maintenance Services
644M
24%
Operating Segments
Total Revenue
Americas
61% of total revenue
Gross margin 58%
$2,692M
International
Approximately 40% of Teradata’s
revenue is from recurring
revenue sources.
17
2/7/2014
Teradata Confidential
39% of total revenue
Gross margin 50%